Instructions to use PLAN-Lab/GraphVid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PLAN-Lab/GraphVid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PLAN-Lab/GraphVid", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a61451177b2c7ac7218f5d907dd7df95b93b7a42e621165be085b4eb498d8b7
- Size of remote file:
- 14.3 GB
- SHA256:
- 7445057dcb7d7025c1f5f711d554b4a59f1145d2ad184cce427e3150487731aa
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